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3rd International conference on Digital Society and Intelligent systems, DSInS 2023

作者： Liu, Jiayue Wang, Lei Li, Mingfei Deng, Cong Luo, Weijian Li, Xufeng Lu, Shengzi Zhang, Ruida Chen, Junyang Dong, Shaohua Guangdong Institute of Special Equipment Inspection and Research Guangdong Province Guangzhou510000 China OIL&GAS Pipeline Research Center Beijing102200 China

ISBN: (纸本)9798350331387

para>Defects in pipeline welds are fatal for pipelines, considering that weld negatives need to be electronically preserved due to high preservation costs, easy damage, etc., and that most of the weld defects are judged with the help of intelligent computer recognition algorithms, the assessment of the quality of weld negatives after digitization is critical. At present, domestic and foreign research on the method of weld negative image quality assessment is still immature, especially after the processing of the image details is not clear, and the low quality of the image will directly affect the accuracy of the weld negative defect identification and determination. Therefore, this paper proposes a reference-free image quality assessment algorithm based on analytic sparse representation for this problem, which objectively evaluates the image quality of weld negatives, helps identify and judge weld defects, and has a vital practical role in guaranteeing the regular operation of pipelines. © 2023 IEEE.

关键词： Welds

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Constructing Obstacle Maps for Highly Automated Vehicles Using the Extended Kalman Filter

Constructing Obstacle Maps for Highly Automated Vehicles Usi...

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2024 International Russian Automation conference, RusAutoCon 2024

作者： Khairullin, Imil Ulyanovsk State Technical University Faculty of Information Systems and Technologies Ulyanovsk Russia

The paper deals with the development of methods and tools for building obstacle maps for highly automated vehicles (HAV) based on the Extended Kalman Filter (EKF). Obstacle maps are used in the HAV control system for avoiding moving and stationary targets and for localization in conjunction with other positioning tools. The EKF module is used to estimate the position of landmarks and the vehicle itself based on the data received from the front cameras. The data processing involves converting the images into Birds-Eye-view (BEV) projections using an Inverted Perspective Map (IPM) to account for spatial information. The paper describes the methods and algorithms used for image processing, object recognition using a neural network with YOLOv8 architecture, and determination of free space for movement using semantic segmentation based on MobileNetV3 neural network architecture. The results of testing the developed methods and software in the Webots modeling environment are also presented, and the prospects for the development and improvement of the system are discussed. The software is implemented using the ROS2 software platform. © 2024 IEEE.

关键词： Extended Kalman filters

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image processing for Knowledge and Comparison of Piranesi’s Carceri Editions 1

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3rd International and Interdisciplinary conference on image and Imagination, IMG 2021

作者： Menconero, Sofia Department of History Representation and Restoration of Architecture Sapienza University of Rome Piazza Borghese 9 Rome00186 Italy

ISBN: (数字)9783031259067

ISBN: (纸本)9783031259050

Piranesi printed the 16 etchings of the Carceri d’invenzione in 1761. This version, which is more widespread and better known, derives from the reworking of matrices that the Venetian engraver produced in 1749–50. These are the 14 plates of the Invenzioni capricciose di Carceri all’acquaforte. Many studies have focused on the semantic and formal comparison of the two main versions of the series. Up to now, comparisons have been conducted using juxtaposed pictures, whether original prints or digital reproductions. This procedure involves some limitations due to the effort of synthesis and mental superimposition of the two pictures of different editions to correctly identify the areas where changes occurred. The contribution proposes a method of formal comparison between the two main editions of the series through the digital superimposition of two states of the same plate so that it is easier, more immediate, and more accurate to note the changes. This method is based on the application of image processing algorithms, which let to obtain a synthesis picture in false colours that clearly shows the modified parts of each plate. Observation of the results has suggested the distinction of two main types of modifications carried out by Piranesi (additions/integrations and removal), clearly identifiable in the synthesis pictures. In addition to its implications for Piranesi studies, this research shows how digital image processing can be an essential tool for knowledge in the field of art. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Etching

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New Type-2 Fuzzy Logic Algorithm Based image Segmentation for Medical Imaging Applications 9

New Type-2 Fuzzy Logic Algorithm Based Image Segmentation fo...

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9th IEEE International conference on Smart Structures and systems, ICSSS 2023

作者： Sangeetha, S. Latha, B. Anna University Veltech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Information Technology Chennai India Sri Sairam Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350384208

Medical image segmentation is a plan that has a lot of potential. The achievement of automated picture segmentation makes it simple to gather biomedical and anatomical information. In terms of the subject, more study and work have increased efficacy. In the field of image processing, this work provides a type-2 fuzzy system-based image application. Computer aided diagnosis and medical image analysis both heavily rely on segmentation. This study presents a fuzzy type 2 algorithm based automated threshold selection method for the division of therapeutic pictures. It has been established that fuzzy set theory may be an effective tool for recitation surroundings when the facts are unclear or inaccurate. The algorithms have been put into practice and evaluated using brain MRI (magnetic resonance imaging) images. The outcomes have been evaluated and documented. The comparison of the controller's efficiency of CNN has 92%. © 2023 IEEE.

关键词： image segmentation

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An Enhanced Approach to Content-based image Retrieval using Harris Hawks Optimization and Automated image Captioning 8

An Enhanced Approach to Content-based Image Retrieval using ...

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8th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Padate, Roshni Gupta, Ashutosh Chakrabarti, Prasun Sharma, Arvind Fr. Conceicao Rodrigues College of Engineering Computer Engineering Mumbai India Sir Padampat Singhania University Computer Science and Engineering Udaipur India Sir Padampat Singhania University Department of Mathematics Udaipur India

ISBN: (纸本)9798350376425

This paper introduces an innovative approach to Content-Based image Retrieval (CBIR) that leverages Harris Hawks Optimization (HHO) to improve feature selection and retrieval accuracy. CBIR systems are increasingly important in fields such as medical imaging and remote sensing, where efficient and accurate image retrieval is essential. Inspired by the cooperative hunting strategies of Harris hawks, the HHO algorithm efficiently balances exploration and exploitation, optimizing the feature extraction process to enhance retrieval outcomes. The proposed system is evaluated on various datasets and compared to other optimization techniques, such as Particle Swarm Optimization (PSO) and Genetic algorithms (GA). The findings show that the HHO-optimized system outperforms these methods in terms of precision, recall, and F1-scores, while also reducing retrieval ***, the incorporation of image captioning into the CBIR framework further improves the user experience. By integrating Computer vision (CV) and Natural Language processing (NLP), the system generates descriptive captions along- side retrieved images, offering valuable textual context. This capability allows users to quickly evaluate the relevance of retrieved images, particularly in complex fields like medical imaging. Experimental results demonstrate that the combination of HHO-based optimization and image captioning significantly enhances both retrieval accuracy and user satisfaction, making it a powerful solution for large-scale image retrieval tasks. © 2024 IEEE.

关键词： Convolutional neural networks

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BCD-Unet:A Novel Water Areas Segmentation Structure for Remote Sensing image 7

BCD-Unet:A Novel Water Areas Segmentation Structure for Remo...

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7th International conference on Intelligent Computing and Control systems, ICICCS 2023

作者： Jonnala, Naga Surekha Gupta, Neha Vasantrao, Chafle Pratiksha Mishra, Anoop Kumar VIT-AP University School of Electronics Engineering Amaravati India

ISBN: (纸本)9798350397253

Surface water resource identification is one of the main techniques used in remote sensing image analysis. This is necessary to stop calamities like floods and droughts. Feature selection based on prior information and complex spectrum analysis are required by machine learning algorithms for extracting waterbodies. The use of deep learning-based algorithms, which have just lately been considered, has eliminated the need for manually extracting features, but they require a large amount of training data and processing power to achieve outstanding performance. Because of this, each deep learning architecture that has been demonstrated may recognize some of the patterns that are present in the given situations. To develop a reliable model for identifying surface water, this research trains and optimises deep learning architecture that have been presented in different disciplines using surface water data. This is accomplished by the model's output more accurately by extracting the finalized segmented mask of water bodies. Our suggested approach was tested using a Kaggle dataset. This dataset included Sentine1-2 satellite images of numerous water bodies. The suggested method outperforms current best practises in semantic segmentation performance. © 2023 IEEE.

关键词： Surface waters

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How to Achieve Qualifiable Model-based Software for Avionics systems Development? 43

How to Achieve Qualifiable Model-based Software for Avionics...

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43rd AIAA DATC/IEEE Digital Avionics systems conference, DASC 2024

作者： Tietz, Vanessa Annighoefer, Bjoern Institute of Aircraft Systems University of Stuttgart Stuttgart Germany

ISBN: (纸本)9798350349610

Is the use of domain-specific modeling (DSM) for avionics systems development without subsequent costly verification and validation a wishful thinking? No, this paper presents the qualifiable part of a framework for domain-specific modeling, as well as the steps and measures taken to achieve it. DSM offers several advantages in the development of highly complex cyber-physical systems. Complex relationships can be captured clearly in the language of the domain expert with the help of formal representations and relationships. In addition, efficient automation and processing is enabled. Nevertheless, when utilized in the safety-critical avionics domain, it often has a supportive role with the drawback of huge effort for verification of generated artifacts. This would be different, if the DSL tool itself is qualified. The generated artifacts could then be used without further verification resulting in less expensive development processes. This paper introduces the core of DOMAINES, a novel DSM framework that aims to be qualifiable. The core is a simplified meta-modeling language (MOD), its safety-critical implementation (RUNMDB), and a model interaction interface. MOD is designed to achieve the functionality required for the development of avionics systems. The RUNMDB is the implementation of MOD and utilizes the programming language Ada (and partly SPARK) as well as simplified, comprehensive, traceable and testable algorithms. To support qualification, a sophisticated test unit is implemented which checks the RUNMDB for correctness. The current implementation of the DOMAINES framework enables loading the Open Avionics Architecture Model (OAAM) as a domain-specific language and creating associated avionics system models based on textual commands. This provides the foundation for model-based development of qualified artifacts for safety-critical systems, e.g. unchecked IMA configuration generation from OAAM. © 2024 IEEE.

关键词： Ada (programming language)

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2024 2nd International conference on Computer, Communication and Control, IC4 2024

2024 2nd International Conference on Computer, Communication...

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2nd International conference on Computer, Communication and Control, IC4 2024

ISBN: (纸本)9798350387933

The proceedings contain 134 papers. The topics discussed include: an adaptive storage switching algorithm for fault-tolerant network attached storage systems;Covid-19 prediction using machine learning algorithms;energy management of hybrid electric vehicles using cascaded fuzzy logic controller;dynamic lane management with IoT for real-time lane configuration and traffic flow;a closer look at sclera: emerging trends in biometric security;cognitive vision companion: an ai-enhanced support system for the visually impaired;advances in medical image processing for liver tumor recognition: a comprehensive survey;a gradient boosting algorithm to predict energy consumption for home applications;and review on text classification using improved deep learning models.

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Now you see me, now you don't: an exploration of religious exnomination in DALL-E

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ETHICS AND INFORMATION TECHNOLOGY 2024年第2期26卷 1-13页

作者： Alfano, Mark Abedin, Ehsan Reimann, Ritsaart Ferreira, Marinus Cheong, Marc Macquarie Univ Dept Philosophy Sydney NSW Australia Univ Melbourne Sch Comp & Informat Syst Melbourne Vic Australia Flinders Univ S Australia Coll Business Govt & Law Adelaide SA Australia

Artificial intelligence (AI) systems are increasingly being used not only to classify and analyze but also to generate images and text. As recent work on the content produced by text and image Generative AIs has shown (e.g., Cheong et al., 2024, Acerbi & Stubbersfield, 2023), there is a risk that harms of representation and bias, already documented in prior AI and natural language processing (NLP) algorithms may also be present in generative models. These harms relate to protected categories such as gender, race, age, and religion. There are several kinds of harms of representation to consider in this context, including stereotyping, lack of recognition, denigration, under-representation, and many others (Crawford in Soundings 41:45-55, 2009;in: Barocas et al., SIGCIS conference, 2017). Whereas the bulk of researchers' attention thus far has been given to stereotyping and denigration, in this study we examine 'exnomination', as conceived by Roland Barthes (1972), of religious groups. Our case study is DALL-E, a tool that generates images from natural language prompts. Using DALL-E mini, we generate images from generic prompts such as "religious person." We then examine whether the generated images are recognizably members of a nominated group. Thus, we assess whether the generated images normalize some religions while neglecting others. We hypothesize that Christianity will be recognizably represented more frequently than other religious groups. Our results partially support this hypothesis but introduce further complexities, which we then explore.

关键词： Artificial intelligence Natural language processing Natural language generation DALL-E Exnomination

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A matching-score-based template reconstruction attack

A matching-score-based template reconstruction attack

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2024 International conference on Computer Graphics, Artificial Intelligence, and Data processing, ICCAID 2024

作者： Liao, Fengxiang Leng, Lu Guo, Guodong Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang330063 China Ningbo Institute of Digital Twin Eastern Institute of Technology Ningbo315000 China

ISBN: (纸本)9781510689275

Biometric systems, even with high accuracies, commonly suffer from various attacks. In practical applications, some systems directly display the matching scores, or attackers can obtain the matching scores. This paper proposes a novel matching-score-based template reconstruction attack, which reveals that matching scores can leak the spatial neighborhood range of the attacked template, resulting in some potential security and privacy risks. The dissimilarity (matching score) between two real-number templates is measured by the Euclidean distance. A small number of match scores can be obtained by matching the attacked template with a few randomly selected or generated fake templates. An equation set can be established based on the formulae of the matching scores. However, it is difficult to directly solve the quadratic equation set. We skillfully simplify the quadratic equation set into a linear equation set, which obviously reduces the complexity, especially for large-size templates. This novel attack can be extended to other algorithms, and used to evaluate the security and privacy of the related algorithms. © 2025 SPIE.

关键词： Template matching

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